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Skill

/inno-figure-gen

Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).

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From plugin
oh-my-paper
74336 skills5 agents15 commands
Install
$ npx -y skills add LigphiDonk/Oh-my--paper --skill inno-figure-gen --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/inno-figure-gen

Context preview

The summary Claude sees to decide when to auto-load this skill.

Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).

SKILL.md

inno-figure-gen.SKILL.md
id: inno-figure-gen
name: inno-figure-gen
version: 1.0.0
description: |-
  Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).
stages: ["publication"]
tools: ["read_file", "search_project", "write_file", "run_terminal"]
summary: |-
  Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
primaryIntent: writing
intents: ["writing"]
capabilities: ["visualization-reporting"]
domains: ["general"]
keywords: ["inno-figure-gen", "paper writing", "visualization-reporting", "inno", "figure", "gen", "generate", "edit", "images", "nano", "banana", "pro"]
source: builtin
status: verified
upstream:
  repo: dr-claw
  path: skills/inno-figure-gen
  revision: 8322dc4ef575affaa374aa7922c0a0971c6db7d7
resourceFlags:
  hasReferences: false
  hasScripts: true
  hasTemplates: false
  hasAssets: false
  referenceCount: 0
  scriptCount: 1
  templateCount: 0
  assetCount: 0
  optionalScripts: true

inno-figure-gen

Canonical Summary

Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.

Trigger Rules

Use this skill when the user request matches its research workflow scope. Prefer the bundled resources instead of recreating templates or reference material. Keep outputs traceable to project files, citations, scripts, or upstream evidence.

Resource Use Rules

  • Treat `scripts/` as optional helpers. Run them only when their dependencies are available, keep outputs in the project workspace, and explain a manual fallback if execution is blocked.

Execution Contract

  • Resolve every relative path from this skill directory first.
  • Prefer inspection before mutation when invoking bundled scripts.
  • If a required runtime, CLI, credential, or API is unavailable, explain the blocker and continue with the best manual fallback instead of silently skipping the step.
  • Do not write generated artifacts back into the skill directory; save them inside the active project workspace.

Upstream Instructions

Nano Banana Pro Image Generation & Editing

Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).

Usage

Run the script using absolute path (do NOT cd to skill directory first):

**Generate new image:**

uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]

**Edit existing image:**

uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]

**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Default Workflow (draft → iterate → final)

Goal: fast iteration without burning time on 4K until the prompt is correct.

  • Draft (1K): quick feedback loop
  • `uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K`
  • Iterate: adjust prompt in small diffs; keep filename new per run
  • If editing: keep the same `--input-image` for every iteration until you’re happy.
  • Final (4K): only when prompt is locked
  • `uv run ~/.codex/skills/inno-figure-gen/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K`

Resolution Options

The Gemini 3 Pro Image API supports three resolutions (uppercase K required):

  • **1K** (default) - ~1024px resolution
  • **2K** - ~2048px resolution
  • **4K** - ~4096px resolution

Map user requests to API parameters:

  • No mention of resolution → `1K`
  • "low resolution", "1080", "1080p", "1K" → `1K`
  • "2K", "2048", "normal", "medium resolution" → `2K`
  • "high resolution", "high-res", "hi-res", "4K", "ultra" → `4K`

API Key

The script checks for API key in this order: 1. `--api-key` argument (use if user provided key in chat) 2. `GEMINI_API_KEY` environment variable

If neither is available, the script exits with an error message.

Preflight + Common Failures (fast fixes)

  • Preflight:
  • `command -v uv` (must exist)
  • `test -n \"$GEMINI_API_KEY\"` (or pass `--api-key`)
  • If editing: `test -f \"path/to/input.png\"`
  • Common failures:
  • `Error: No API key provided.` → set `GEMINI_API_KEY` or pass `--api-key`
  • `Error loading input image:` → wrong path / unreadable file; verify `--input-image` points to a real image
  • “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account

Filename Generation

Generate filenames with the pattern: `yyyy-mm-dd-hh-mm-ss-name.png`

**Format:** `{timestamp}-{descriptive-name}.png`

  • Timestamp: Current date/time in format `yyyy-mm-dd-hh-mm-ss` (24-hour format)
  • Name: Descriptive lowercase text with hyphens
  • Keep the descriptive part concise (1-5 words typically)
  • Use context from user's prompt or conversation
  • If unclear, use random identifier (e.g., `x9k2`, `a7b3`)

Examples:

  • Prompt "A serene Japanese garden" → `2025-11-23-14-23-05-japanese-garden.png`
  • Prompt "sunset over mountains" → `2025-11-23-15-30-12-sunset-mountains.png`
  • Prompt "create an image of a robot" → `2025-11-23-16-45-33-robot.png`
  • Unclear context → `2025-11-23-17-12-48-x9k2.png`

Image Editing

When the user wants to modify an existing image: 1. Check if they provide an image path or reference an image in the current directory 2. Use `--input-image` parameter with the path to the image 3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style") 4. Common editing tasks: add/remove elements, change style, ad

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